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Open AccessArticle10.5283/epub.21242

Intelligent Decision Support for Centralized Coordination during Emergency Response

Felix Wex,Guido Schryen,Dirk Neumann-2011-01-01-University of Regensburg Publication Server (University of Regensburg)
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TL;DRAbstract

Automated coordination is regarded as a novel approaches in Emergency Response Systems (ERS), and especially resource allocation has been understudied in former research.The contribution of this paper is the introduction of two variants of a novel resource allocation mechanism that provide decision support to the centralized Emergency Operations Center (EOC).Two quantitative models are computationally validated using real-time, data-driven, Monte-Carlo simulations promoting reliable propositions of distributed resource allocations and schedules.Various requirements are derived through a literature analysis.Comparative analyses attest that the Monte-Carlo approach outperforms a well-defined benchmark.

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Automated coordination is regarded as a novel approaches in Emergency Response Systems (ERS), and especially resource allocation has been understudied in former research.The contribution of this paper is the introduction of two variants of a novel resource allocation mechanism that provide decision support to the centralized Emergency Operations Center (EOC).Two quantitative models are computationally validated using real-time, data-driven, Monte-Carlo simulations promoting reliable propositions of distributed resource allocations and schedules.Various requirements are derived through a literature analysis.Comparative analyses attest that the Monte-Carlo approach outperforms a well-defined benchmark.

Keywords

Computer scienceResource allocationBenchmark (surveying)Monte Carlo methodResource (disambiguation)Operations researchDecision support systemEmergency response

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